Only 7% of people type a single-word query.
56% of shoppers usually use queries of more than three words.
If you use a basic ecommerce search that processes simple search queries, you might be missing great sales potential.
For businesses that seek the most out of their ecommerce search, conversational search is a must.
What is it, and how can you exploit it for the highest revenue?
What is conversational search in ecommerce?
Conversational search allows users to interact with an ecommerce (or any other) search engine using natural language.
It is different from a traditional search that relies on matching search results with precise, short keywords.
Instead, conversational search enables users to write longer and more abstract queries, express preferences, and get personalized and relevant results.
Conversational search is already (and will be) the next big thing in the ecommerce world.
Amazon is about to upgrade its already-effective conversational product search to a Chat GPT-like search. The company focuses on helping users to find answers to questions, compare products and receive personalized suggestions.
Don’t miss the chance to become a part of the future.
Why should you use it in your e-shop?
User behavior has changed.
People stopped thinking of a highly-specific keyword when searching for a product. Now, they type longer, more natural-sounding search queries and leave them to the search engine to process.
For instance, instead of typing a narrow, keyword-like search query as a salad dressing, users now might search for sugar-free dressing for spinach salad.
Most traditional search engines would fail to deliver products that match all criteria: sugar-free, salad dressing, goes well with spinach.
But advanced, AI-driven site search can.
Therefore, the conversational search can provide your business with multiple benefits:
Improved user experience
By delivering highly-matching search results, conversational search drastically improves user experience on your e-shop.
It allows users to express their needs and preferences in natural language. For example, a shopper can type “show me red dresses under $100” or “I need a gift for my mom’s birthday” and get results that match their query.
More personalized experience
Conversational search delivers more personalized and relevant results. That is because the search analyzes more than just a search query. It also considers the user’s context, intent, and behavior.
For example, a conversational search engine can use the user’s approximate location, search history, and preferences to tailor the results to their needs.
Reduced bounce rates
The more relevant the search experience, the more likely users will stay on the e-shop (and convert).
Conversational search effectively reduces bounce rates and increases retention and loyalty.
For example, a conversational search engine can keep the user engaged by providing relevant and diverse results and offering incentives and rewards.
How to exploit conversational search in your e-shop?
Maximizing the effectiveness of the conversational search is not easy. Unless you know how.
Support different languages
A conversational search engine has to deal with synonyms, slang, spelling errors, negations, and other linguistic variations. Not to mention different languages users might search for your products in.
Pick a site search (like LupaSearch) that supports multiple languages and delivers relevant search results regardless of the language.
Sometimes users’ queries are too vague to deliver matching products. In such cases, the most important thing is to provide something.
Empower such search engine features as did-you-mean functionality or similar suggestions.
By providing alternatives to users’ search queries, you can avoid guiding users to a blank page of zero results and make them stay longer in your e-shop.
Users name the same products differently, depending on culture, location, native language, and jargon.
Make sure to include those differences in your site search strategy.
Continuously monitor search results and trends and add synonyms for most-searched words.
Support faceted search
Sometimes users search for a highly-specific product, clearly stating the product’s size, color, price, or other attributes.
Make sure your ecommerce search supports faceted search and can automatically assign relevant filters accordingly to the search query.
For example, when a user searches for “show me blue sneakers under $100” or “I want a cheap sneakers,” make sure to deliver the products that fit the criteria.
That being said, conversational search is a powerful tool for ecommerce businesses that can improve the user experience and drastically boost conversion rates.
Don’t miss the next big thing in ecommerce.
Schedule a demo with a LupaSearch product consultant, and let’s see how effective ecommerce search can benefit your business.